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Research Collection Lee Kong Chian School Of Business

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Full-Text Articles in Operations and Supply Chain Management

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou Jul 2026

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Motivated by the fresh produce industry, this paper studies a farmer’s joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in yield, crop price, and harvesting cost where the latter two are yield dependent and yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic model of a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the optimal expected harvest volume (a measure of crop production). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize how …

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From Trees To Treewidth: Inventory Management In Complex Supply Chain Networks, Philippe Blaettchen, Andre Calmon, Georgina Hall, Mohit Tawarmalani May 2026

From Trees To Treewidth: Inventory Management In Complex Supply Chain Networks, Philippe Blaettchen, Andre Calmon, Georgina Hall, Mohit Tawarmalani

Research Collection Lee Kong Chian School Of Business

We propose an exact solution approach to the Guaranteed Service Model (GSM), one of the most widely applied models for optimizing safety stock placement in supply chain networks. Based on linear programming (LP), our approach handles any directed acyclic network and any cost function that depends on a stage's incoming and outgoing service times. It scales polynomially in the number of nodes n in the network, and exponentially in its treewidth, which quantifies how "tree-like" a network is, and can be much smaller than n. This contrasts with existing approaches, which scale exponentially in n. The proof of exactness of …

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Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke Mar 2026

Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

We study a multi-period joint capacity allocation and job assignment problem. The goal is to simultaneously allocate resources across J different supply nodes and assign jobs from I different demand origins to these J supply nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We consider three features: (i) supply is replenishable after some random time, (ii) demand is random, and (iii) demand can wait and needs not be fully fulfilled immediately. Such problems emerge in many service management settings such as fleet re-positioning for car-sharing, and patient management in healthcare. We …

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Uncertain Search With Knowledge Transfer, Woonghee Tim Huh, Michael Jong Kim, Meichun Lin Feb 2026

Uncertain Search With Knowledge Transfer, Woonghee Tim Huh, Michael Jong Kim, Meichun Lin

Research Collection Lee Kong Chian School Of Business

We consider a sequential search over a group of similar alternatives. The individual value of an alternative contains two components, an observable utility and an idiosyncratic value. Observable utilities share an unknown population distribution, which captures the similarity across the alternatives and allows for knowledge transfer within the group. Once a decision maker encounters an alternative, its utility is revealed immediately, whereas the idiosyncratic value is unobservable and needs to be learned by sampling. The goal is to select an alternative with the highest individual value while accounting for the sampling and search costs. A novel feature of this problem …

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Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh Feb 2026

Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh

Research Collection Lee Kong Chian School Of Business

Many firms are pledging to reduce greenhouse gas emissions across their value chains. However, this requires their suppliers to also adopt more climate-friendly practices for decarbonization. This can involve addressing gaps in not only the suppliers’ ability but also their willingness to adopt such practices, which can be challenging if the suppliers perceive the practices as risky or potentially detrimental to their economic well-being. We examine the effectiveness of relational investments to help mitigate this challenge, arguing that relational investments can serve as a signal of the firm’s commitment towards joint value creation. In a field experiment conducted with supplier …

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Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan Jan 2026

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

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Designing Payment Models For The Poor, Bhavani Shanker Uppari, Sasa Zorc Dec 2025

Designing Payment Models For The Poor, Bhavani Shanker Uppari, Sasa Zorc

Research Collection Lee Kong Chian School Of Business

Millions of people in poverty lack access to basic services such as energy, clean water, and cooking gas. Private firms are increasingly delivering these services—for example, by offering solar home systems or clean cooking packages with remote lockout capabilities—through pay-as-you-go (PAYGo) contracts that give consumers flexibility over payment timing and amount to match their erratic cash flows. Because firms cannot observe consumer liquidity, however, consumers may misuse this flexibility and prioritize other needs over repayment. We study how to design contracts that preserve flexibility while creating incentives for timely repayment using an optimal contracting approach. The optimal contract summarizes each …

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Internet Of Things In Intralogistics: Applications And Emerging Research, Rene De Koster, Debjit Roy, Yun Fong Lim, Subodha Kumar Nov 2025

Internet Of Things In Intralogistics: Applications And Emerging Research, Rene De Koster, Debjit Roy, Yun Fong Lim, Subodha Kumar

Research Collection Lee Kong Chian School Of Business

Managing the performance of intralogistics operations, that is logistics operations within facilities such as manufacturing plants, order fulfillment warehouses, ports and terminals, and retail stores, is critical in fulfilling customer expectations. Traditional decision-making for intralogistics operations is based on historical data, typically collected over long-range intervals with significant processing delays. However, nowadays, Internet of Things (IoT) applications are used to gather detailed real-time data to make dynamic decisions. These new data sources provide challenges and opportunities for operations management. We provide an overview of prominent IoT technologies in four domains: manufacturing, warehousing, ports and terminals, retail, and other emerging areas. …

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Performances In Last-Mile Deliveries Involving Cyclic Services Of Shuttles And Cargo Bikes, Byung Kwon Lee, Young Joo Kim, Joyce M. W. Low Oct 2025

Performances In Last-Mile Deliveries Involving Cyclic Services Of Shuttles And Cargo Bikes, Byung Kwon Lee, Young Joo Kim, Joyce M. W. Low

Research Collection Lee Kong Chian School Of Business

This study introduces a novel approximation model that integrates the ideologies of order statistics and max-plus algebra in representing the collection and distribution service schemes of a last-mile delivery system. Under the respective schemes, electric cargo bikes (e-bikes) perform the last-mile delivery near a microhub with shuttles collecting packages from multiple local logistics hubs (or local hubs, for short) and/or distributing packages to multiple microhubs. The framework is designed to estimate the cyclic capacity under varying cargo carrying capacities of the e-bikes and service network configurations. Real-world data, such as the geographic conditions of the streets around the microhubs in …

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Optimizing Initial Screening For Colorectal Cancer Detection With Adherence Behavior, Sarah Yini Gao, Yan He, Ruijie Zhang, Zhichao Zheng, Shao Wei Lam Lam, Emile Tan Sep 2025

Optimizing Initial Screening For Colorectal Cancer Detection With Adherence Behavior, Sarah Yini Gao, Yan He, Ruijie Zhang, Zhichao Zheng, Shao Wei Lam Lam, Emile Tan

Research Collection Lee Kong Chian School Of Business

Background: Two-stage screening programs are widely adopted for early colorectal cancer (CRC) detection, where individuals receiving positive outcomes in the first-stage (initial) test are recommended to undergo a second-stage test (colonoscopy) for further diagnosis. Methods: We study the initial test design—the selection of cutoffs for reporting test outcomes—to balance the trade-off between screening effectiveness (i.e., CRC and polyp detection) and efficiency (i.e., colonoscopy costs), incorporating the fact that not all individuals follow up with a colonoscopy after receiving positive outcomes. We integrate the Bayesian persuasion framework with information avoidance to model this problem and apply it to Singapore's CRC screening …

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Converting Counterfeiters In Emerging Markets To Authorized Suppliers: A New Anti-Counterfeiting Measure, Liling Lu, Xin Fang, Sarah Yini Gao, Burak Kazaz Sep 2025

Converting Counterfeiters In Emerging Markets To Authorized Suppliers: A New Anti-Counterfeiting Measure, Liling Lu, Xin Fang, Sarah Yini Gao, Burak Kazaz

Research Collection Lee Kong Chian School Of Business

With more products being infringed by counterfeits, anti-counterfeiting measures, such as law enforcement and consumer education, have commonly been adopted in emerging markets. In recent years, “super fakes,” i.e., counterfeits of high quality, have become popular. Super fake manufacturers’ capability to produce high-quality products inspires a new anti-counterfeiting measure: converting counterfeiters to authorized suppliers. To study the effectiveness of this anticounterfeiting measure, our paper employs a game-theoretic model to examine the interactions between a brand-name firm with its home supplier, and a counterfeiter who produces high-quality counterfeits and can be potentially converted to an authorized overseas supplier. Our results show …

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Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh Aug 2025

Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh

Research Collection Lee Kong Chian School Of Business

Many firms are attempting to reduce greenhouse gas emissions across their value chain. However, this requires convincing suppliers to adopt relevant decarbonization practices, which is challenging when the suppliers perceive such practices as risky or detrimental for their economic well-being. We employ a field experiment to examine relational investments (i.e., investments intended to promote mutual benefit for the exchange partners) as a tool for overcoming this challenge. In a research collaboration with a global firm pursuing decarbonization of its agricultural supply chain in India, we investigated the effectiveness of complementing training their supplier farmers on climate-friendly agricultural practices with also …

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Extubation Decisions With Predictive Information For Mechanically Ventilated Patients In Icu, Guang Cheng, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi Jul 2025

Extubation Decisions With Predictive Information For Mechanically Ventilated Patients In Icu, Guang Cheng, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi

Research Collection Lee Kong Chian School Of Business

Weaning patients from mechanical ventilators is a crucial decision in intensive care units (ICUs), significantly affecting patient outcomes and the throughput of ICUs. This study aims to improve the current extubation protocols by incorporating predictive information on patient health conditions. We develop a discrete-time, finite-horizon Markov decision process with predictions of future state to support extubation decisions. We characterize the structure of the optimal policy and provide important insights into how predictive information can lead to different decision protocols. We demonstrate that adding predictive information is always beneficial, even if physicians place excessive trust in the predictions, as long as …

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Can Lower(Ed) Expert Opinions Lead To Better Consumer Ratings?: The Case Of Michelin Stars, Xingyi Li, Yiting Deng, Puneet Manchanda, Bert De Reyck Jul 2025

Can Lower(Ed) Expert Opinions Lead To Better Consumer Ratings?: The Case Of Michelin Stars, Xingyi Li, Yiting Deng, Puneet Manchanda, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

Expert opinion exerts tremendous influence on the purchase journey, but its effect on overall consumer experience is ambiguous because it can give rise to both “expectation” and “reputation” effects. This paper explores the effect of expert opinions on consumer experience via the lens of consumer reviews in the restaurant industry, where the expert opinions are conveyed by Michelin stars. The paper uses a unique data set based on the Michelin Guide for Great Britain & Ireland from 2010 to 2020. The data include consumer reviews on TripAdvisor for all restaurants that were awarded Michelin stars during this period and a …

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Major Customers And Carbon Footprints Along The Supply Chain, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu Jun 2025

Major Customers And Carbon Footprints Along The Supply Chain, Saiying Deng, Tinghua Duan, Frank Weikai Li, Xiaoling Pu

Research Collection Lee Kong Chian School Of Business

This paper examines whether major corporate customers curb corporate carbon emissions along the supply chain. We show that suppliers with a more concentrated customer base have significantly lower carbon emissions. The results are robust to alternative measures of carbon emissions and customer concentration, alternative sample, alternative explanation, and various approaches to mitigate endogeneity concerns. The effect is more pronounced when major customers have made emission-reduction commitment, when they are exposed to greater climate regulatory shocks and risks, and when they become more concerned about regulatory scrutiny. Moreover, the curbing effect of major customers on supplier carbon emissions is stronger when …

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Regulating Adaptive Medical Artificial Intelligence: Can Less Oversight Lead To Greater Compliance?, Jiayi Lai, Liang Xu, Xin Fang, Tinglong Dai Nov 2024

Regulating Adaptive Medical Artificial Intelligence: Can Less Oversight Lead To Greater Compliance?, Jiayi Lai, Liang Xu, Xin Fang, Tinglong Dai

Research Collection Lee Kong Chian School Of Business

As of June 2024, the U.S. Food and Drug Administration (FDA) has approved 950 medical artificial intelligence (AI) devices. The current regulatory framework freezes AI algorithms after approval, requiring new submissions for updates to ensure compliance with Good Machine Learning Practices (GMLP). This approach imposes a significant administrative burden, while hindering the ability of AI algorithms to learn from new data. To address these challenges, the FDA has explored a novel pathway known as Predetermined Change Control Plans (PCCP), allowing developers to outline future changes during initial submissions and exempting approved changes from regulatory review. Yet, the impact of this …

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Strategic Cross-Subsidization In Healthcare Capitation Programs: Evidence From Medicare Advantage, Zhaowei She, Turgay Ayer, Bilal Gokpinar, Danny R. Hughesd Nov 2024

Strategic Cross-Subsidization In Healthcare Capitation Programs: Evidence From Medicare Advantage, Zhaowei She, Turgay Ayer, Bilal Gokpinar, Danny R. Hughesd

Research Collection Lee Kong Chian School Of Business

Problem definition: : This study identifies a resource misallocation problem in Medicare Advantage (MA), the United States' largest healthcare capitation program, which may result in discrepancies between patients' health status and the healthcare resources allocated to them. Methodology/results: : Utilizing a large commercial insurance database with claims from more than 2 million MA enrollees, this research investigates the allocation of MA capitation payments. By exploiting an exogenous policy shock on MA capitation payments through a difference-in-difference design, we find empirical evidence of an illegal practice known as "cross-subsidization." This practice involves MA health plans strategically reallocating portions of the capitation …

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Appointment Scheduling With Delay Tolerance Heterogeneity, Shuming Wang, Jun Li, Marcus Ang, Tsan Sheng Ng Sep 2024

Appointment Scheduling With Delay Tolerance Heterogeneity, Shuming Wang, Jun Li, Marcus Ang, Tsan Sheng Ng

Research Collection Lee Kong Chian School Of Business

In this study, we investigate an appointment sequencing and scheduling problem with heterogeneous user delay tolerances under service-time uncertainty. We aim to capture the delay-tolerance effect with heterogeneity, in an operationally effective and computationally tractable fashion, for the appointment scheduling problem. To this end, we first propose a Tolerance-Aware Delay (TAD) index that incorporates explicitly the user-tolerance information in delay evaluation. We show that the TAD index enjoys decision-theoretical rationale in terms of Tolerance Sensitivity, Monotonicity, Convexity and Positive Homogeneity, which enables it to incorporate the frequency and intensity of delays over the tolerance in a coherent manner. Specifically, the …

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An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou Sep 2024

An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

To support the rapid growth in global electric vehicle adoption, public charging of electric vehicles is crucial. We study the problem of an electric vehicle charging service provider, which faces (1) stochastic arrival of customers with distinctive arrival and departure times, and energy requirements as well as (2) a total electricity cost including demand charges, costs related to the highest per-period electricity used in a finite horizon. We formulate its problem of scheduling vehicle charging to minimize the expected total cost as a stochastic program (SP). As this SP is large-scale, we solve it using exponential cone program (ECP) approximations. …

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The Downstream Impact Of Upstream Tariffs: Evidence From Investment Decisions In Supply Chains, Thorsten Martin, Clemens A. Otto Sep 2024

The Downstream Impact Of Upstream Tariffs: Evidence From Investment Decisions In Supply Chains, Thorsten Martin, Clemens A. Otto

Research Collection Lee Kong Chian School Of Business

We study how US manufacturing firms' investment responds to tariff reductions in supplier industries. Our estimates, based on tariff reductions following multinational trade agreements, suggest that a hypothetical 10% reduction of all upstream tariffs would increase downstream investment by 4% to 6%. This estimate is not explained by decreasing uncertainty and stems from tariff reductions for homogeneous and low-R\&D inputs, consistent with the investment response resulting from cost reductions rather than superior foreign technology embodied in imported inputs. Evidence from an instrumental variable estimation using the sudden increase in Chinese import penetration suggests that import competition also increases downstream investment.

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Optimal Policies And Heuristics To Match Supply With Demand For Online Retailing, Qiyuan Deng, Xiaobo Li, Yun Fong Lim, Fang Liu Sep 2024

Optimal Policies And Heuristics To Match Supply With Demand For Online Retailing, Qiyuan Deng, Xiaobo Li, Yun Fong Lim, Fang Liu

Research Collection Lee Kong Chian School Of Business

Problem definition: We consider an online retailer selling multiple products to different zones over a finite horizon with multiple periods. At the start of the horizon, the retailer orders the products from a single supplier and stores them at multiple warehouses. The retailer determines the products’ order quantities and their storage quantities at each warehouse subject to its capacity constraint. At the end of each period, after random demands in the period are realized, the retailer chooses the retrieval quantities from each warehouse to fulfill the demands of each zone. The objective is to maximize the retailer’s expected profit over …

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Business Model Choice For Heavy Equipment Manufacturer, Philippe Blaettchen, Niyazi Taneri, Sameer Hasija Jul 2024

Business Model Choice For Heavy Equipment Manufacturer, Philippe Blaettchen, Niyazi Taneri, Sameer Hasija

Research Collection Lee Kong Chian School Of Business

Technological advances enable new business models for heavy equipment manufacturers wherein customers access equipment without ownership. We seek to understand the profitability and environmental performance of different emerging business models in light of salient economic and operational factors. We develop a game-theoretic model to identify the optimal choice between a traditional ownership-based business model and two access-based models: servicization and peer-to-peer sharing. After-sales services, equipment characteristics, usage environments, and fuel prices affect this choice. We also provide a novel framework to analyze business models’ environmental impact, which incorporates trade-offs between economic value and environmental costs and shows that all models …

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Locking In Overseas Buyers Amid Geopolitical Conflicts, Di Fan, Pengcheng Ma, Lin Cui, Daphne W. Yiu Jul 2024

Locking In Overseas Buyers Amid Geopolitical Conflicts, Di Fan, Pengcheng Ma, Lin Cui, Daphne W. Yiu

Research Collection Lee Kong Chian School Of Business

Geopolitical conflicts, particularly economic ones, introduce significant uncertainties into the global supply chain. The impact of these conflicts on cross-border buyer-supplier transactions remains underexplored, as does the capability of global suppliers to mitigate such risks by locking in their foreign buyers. Employing a combined perspective of resource dependence theory and transaction cost economics, we examine a natural experiment to investigate the effects of the 2018 U.S.-China trade war on the transactional relationships between Chinese suppliers and their U.S. buyers. Our study reveals that the trade war generally adversely affected these buyer-supplier transactional relationships, leading to a negative abnormal transaction value …

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Design Of Off-Grid Lighting Business Models To Serve The Poor: Field Experiments And Structural Analysis, Bhavani Shanker Uppari, Serguei Netessine, Ioana Popescu, Rowan P. Clarke May 2024

Design Of Off-Grid Lighting Business Models To Serve The Poor: Field Experiments And Structural Analysis, Bhavani Shanker Uppari, Serguei Netessine, Ioana Popescu, Rowan P. Clarke

Research Collection Lee Kong Chian School Of Business

A significant proportion of the world’s population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper, we explore consumer behavior and the operational inefficiencies that result under this model. Specifically, we are interested in (i) measuring the impact of inconvenience (of travelling to recharge the lamp) along with the impact of liquidity constraints (due to poverty) on lamp usage, and (ii) evaluating the efficacy of strategies that address these factors. We build a structural model of consumers’ recharge …

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Traceability Technology Adoption In Supply Chain Networks, Philippe Blaettchen, Andre P. Calmon, Georgina Hall Mar 2024

Traceability Technology Adoption In Supply Chain Networks, Philippe Blaettchen, Andre P. Calmon, Georgina Hall

Research Collection Lee Kong Chian School Of Business

Modern traceability technologies promise to improve supply chain management by simplifying recalls, increasing visibility, and verifying sustainable supplier practices. Initiatives leading the implementation of traceability technologies must choose the least-costly set of firms—or seed set—to target for early adoption. Choosing this seed set is challenging because firms are part of supply chains interlinked in complex networks, yielding an inherent supply chain effect: benefits obtained from traceability are conditional on technology adoption by a subset of firms in a product’s supply chain. We prove that the problem of selecting the least-costly seed set in a supply chain network is hard to …

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Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo Feb 2024

Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo

Research Collection Lee Kong Chian School Of Business

Background: Deep sternal wound infection (DSWI) constitutes a serious complication after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the dose-response relationship between glycated hemoglobin (HbA1c) level and the risk of DSWI after CABG. Methods: PubMed, Scopus, and Cochrane Library databases were searched to identify potentially relevant articles. According to rigorous inclusion and exclusion criteria, fourteen studies including 15,570 patients were finally enrolled in our meta-analysis. Odds ratio (OR) with 95% confidence intervals (CIs) was used as the summary statistic. The robust-error meta-regression model was used to synthesize the dose-response relationship. Results: Our meta-analysis …

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Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim Jan 2024

Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer’s orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the potential delay in delivery. Methodology/results: We model the order-holding problem as a Markov Decision Process. We show that the optimal order-holding decisions follow a threshold-type policy that …

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Stopping The Revolving Door: Mdp-Based Decision Support For Community Corrections Placement, Xiaoquan Gao, Pengyi Shi, Nan Kong Dec 2023

Stopping The Revolving Door: Mdp-Based Decision Support For Community Corrections Placement, Xiaoquan Gao, Pengyi Shi, Nan Kong

Research Collection Lee Kong Chian School Of Business

Community corrections (CC) programs offer an alternative to incarceration that can reduce jail overcrowding and recidivism rates. The aim is to address the root causes behind criminal behavior, ultimately breaking the cycle of reincarceration. However, placing all eligible individuals in CC may strain case managers, resulting in reduced supervision, increased violations, and higher recidivism rates, which undermines the intended benefits for all participants in the programs. We take the first step in building a comprehensive analytical framework based on a queueing system to support the placement decisions and related decisions such as capacity planning. We develop a Markov Decision Process …

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Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu Dec 2023

Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu

Research Collection Lee Kong Chian School Of Business

Objectives: Telemedicine enables patients to communicate with physicians effectively, especially during the coronavirus disease (COVID-19) pandemic. However, few studies have explored the use of online health care platforms for a comprehensive range of specialties during the COVID-19 pandemic. This study aimed to investigate how telemedicine services were affected by the announcement of human-to-human transmission in China. Methods: Telemedicine data from haodf.com in China were collected. A difference-in-differences analysis compared the number of telemedicine use and the number of active online physicians for different specialties in 2020 with the numbers in 2019, before and after the announcement of human-to-human transmission. Results: …

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Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong Nov 2023

Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong

Research Collection Lee Kong Chian School Of Business

Tickets to popular elimination style tournaments (e.g., NFL Super Bowl) are expensive and scarce. Sports organizations sell these tickets well in advance of the final game. Fans hesitate to buy them because they are unsure about whether their favorite team will play in it. We present two alternatives to the current practice: consumer forwards and options. A fan pays a reserve price to secure her team-specific forward ticket. If that team makes it to the final game, the fan must (in the option case, has the choice to) pay an exercise price to purchase the ticket. If the team does …

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